How to analyse large volumes of secondary qualitative data: Big Qual Methods (postponed)

Date:

03/05/2018

Organised by:

The University of Edinburgh

Presenter:

Professor Rosalind Edwards, Professor of Sociology, Social Sciences Director of Research and Co-director of ESRC National Centre for Research Methods at the University of Southampton.

Professor Lynn Jamieson, Professor of Sociology, The University of Edinburgh and Co-Director of The Centre for Research on Families & Relationships.

Dr Sarah Lewthwaite, Research Fellow at the National Centre for Research Methods at The University of Southampton.

Professor Melanie Nind, Professor of Education, University of Southampton

Dr Susie Weller, Senior Research Fellow, National Centre for Research Methods, University of Southampton

Level:

Intermediate (some prior knowledge)

Contact:

Laura Marshall
0131 651 3001
L.marshall@ed.ac.uk
Working Week Monday - Wednesday

Map:

View in Google Maps  (EH3 9DR)

Venue:

Room EW.10, Argyle House, 3 Lady Lawson Street, Edinburgh

Description:

The course aims to introduce doctoral students to a novel method for handling large volumes of qualitative data in a manner that maintains the integrity of qualitative work. The course is likely to benefit those conducting secondary analysis with archived datasets from repositories such as the ESRC Timescapes and the UK Data Archives and/or those working across multiple qualitative data sets.

 

This one-day course will provide the foundations for conducting big qual analysis using a new archaeological approach that works backwards and forwards between levels in combined multiple qualitative data sets. It forms part of a new collaborative project that aims to develop and test resources for the teaching and learning of this method. Participants will gain hands-on experience of this four-step process. Drawing on material in repositories such as the Timescapes Archive, they will learn how to survey the main features of the data landscape to acquire a precursory understanding of the nature, quality, and fit of the available material. They will be introduced to ways of carrying out a geophysical survey of the overall features of the selected data sets to identify points of potential interest using a range of CAQDAS tools. They will learn approaches to test pit sampling to investigate the salience (or not) of those interesting features. They will conduct deep excavations of a sample of cases. They will be involved in the evaluation of the course resources.

 

The session consolidates and builds on the NCRM training course ‘How to bring together multiple qualitative datasets: Expanding your analytic comfort zone’ hosted at the University of Edinburgh on Wednesday 2nd May 2018. It may also be taken as an independent course by people who already have some familiarity with the material covered in the previous day’s course.

Cost:

The fee per teaching day is:

• £30 per day for UK/EU registered students
• £60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.
• £220 per day for all other participants

All fees include event materials, lunch, morning and afternoon tea. They do not include travel and accommodation costs.

Cancellation Policy: Please be reminded that you will be charged the full registration fee if you cancel your place within 4 weeks before the training delivery date or you fail to attend.

If you are able to fill the place on the course you are cancelling then the cancellation charge will not apply.

Website and registration:

Region:

Scotland

Keywords:

Big data, Data Sets , Archive

Related publications and presentations:

Big data

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